罗伊特
工作(物理)
旅游调查
逻辑回归
家庭收入
人口
有序逻辑
链条(单位)
计量经济模型
土地利用
旅游行为
计量经济学
地理
人口经济学
经济
运输工程
统计
工程类
数学
人口学
社会学
机械工程
物理
土木工程
考古
天文
作者
Long Cheng,Xuewu Chen,Shuo Yang
标识
DOI:10.1080/03081060.2016.1160579
摘要
Daily trip chain complexity and type choices of low-income residents are examined based on activity travel diary survey data in Nanjing, China.Statistical tests reveal that non-work trip chain complexity is distinctly distinct between low-income residents and non-low-income residents.Low-income residents are inclined to make simple non-work chains.Two types of econometric models, a stereotype logit model and mixed logit model, are then developed to investigate the possible explanatory variables affecting their trip pattern.The number of stops within a chain and chain types are considered as dependent variables, while independent variables include household and personal characteristics as well as land use variables.Results show that once convenient and flexible conditions are supplied, low-income residents are more likely to make multiple activities in a trip chain.Areas with high population and employment densities are associated with complex work trip chains and more non-work activity involvement.
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